Paper: Online Word Alignment for Online Adaptive Machine Translation

ACL ID W14-0313
Title Online Word Alignment for Online Adaptive Machine Translation
Venue EACL Workshop on Humans and Computer-assisted Translation
Session
Year 2014
Authors

A hot task in the Computer Assisted Translation scenario is the integration of Machine Translation (MT) systems that adapt sentence after sentence to the post- edits made by the translators. A main role in the MT online adaptation process is played by the information extracted from source and post-edited sentences, which in turn depends on the quality of the word alignment between them. In fact, this step is particularly crucial when the user corrects the MT output with words for which the system has no prior infor- mation. In this paper, we first discuss the application of popular state-of-the-art word aligners to this scenario and reveal their poor performance in aligning un- known words. Then, we propose a fast procedure to refine their outputs and to get more reliable and accurate alig...